Can I teach myself C++?
Yes, you can learn it all by yourself but it depends hugely on what type of coder you want to be. If you want to learn just for beginner-level syntax, some for loop, arrays, and strings are enough. For intermediate level, you must know Data Structures and Algorithms in c++.
How do you do image processing?
Image processing basically includes the following three steps:
- Importing the image via image acquisition tools;
- Analysing and manipulating the image;
- Output in which result can be altered image or report that is based on image analysis.
What is the best way to learn image processing?
Coursera has a course on Digital Image Processing coming up. Join it; work through all the problem sets yourself. I have found that working on projects and solving problem sets is the most effective method to learn image processing. The theory (barring advanced topics) is basically discrete math; it can be looked up easily on the Internet.
Can you implement digital image processing algorithms with C++ and OpenCV?
In this one I would like to present you some digital image processing algorithms implemented with C++ and OpenCV. Although, OpenCV supports most of these algorithms out-of-the-box what I am trying to show you actually is how you could implement these manually with C++.
What is the best way to learn image recognition in Python?
There are few libraries in python like OpenCV, Scikit-image that supports easier implementation. But for image recognition, labelling image, bounding box for image comes under ML and this needs some knowledge of basic The right way to learn is only by getting your hands dirty.
Why is OpenCV so popular for deep learning?
At the same time, images have become the basis of most Deep Learning algorithms for apparently distant tasks related to, say, Autonomous Driving, Earth Observation or Face Detection. OpenCV is a multiplatform library written in C++ born to deal with images. You can do almost everything with it: from masking to face detection.